Human-in-the-loop Learning and Control for Robot Teleoperation

de

, ,

Éditeur :

Academic Press


Paru le : 2023-04-06

eBook Téléchargement ebook sans DRM
Lecture en ligne (streaming)
138,20

Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description
Human-in-the-loop Learning and Control for Robot Teleoperation presents recent, research progress on teleoperation and robots, including human-robot interaction, learning and control for teleoperation with many extensions on intelligent learning techniques. The book integrates cutting-edge research on learning and control algorithms of robot teleoperation, neural motor learning control, wave variable enhancement, EMG-based teleoperation control, and other key aspects related to robot technology, presenting implementation tactics, adequate application examples and illustrative interpretations. Robots have been used in various industrial processes to reduce labor costs and improve work efficiency. However, most robots are only designed to work on repetitive and fixed tasks, leaving a gap with the human desired manufacturing effect. - Introduces research progress and technical contributions on teleoperation robots, including intelligent human-robot interactions and learning and control algorithms for teleoperation - Presents control strategies and learning algorithms to a teleoperation framework to enhance human-robot shared control, bi-directional perception and intelligence of the teleoperation system - Discusses several control and learning methods, describes the working implementation and shows how these methods can be applied to a specific and practical teleoperation system
Pages
266 pages
Collection
n.c
Parution
2023-04-06
Marque
Academic Press
EAN papier
9780323951432
EAN EPUB SANS DRM
9780323958431

Informations sur l'ebook
Prix
138,20 €

Suggestions personnalisées